Evidence map›Paper›PMID 12944977›Full record

ArticleGenes and immunity2003

Age-related thymic involution in C57BL/6J x DBA/2J recombinant-inbred mice maps to mouse chromosomes 9 and 10.

H-C Hsu, H-G Zhang, L Li, N Yi, P-A Yang, Q Wu, J Zhou, S Sun, X Xu, X Yang and 5 more

Abstract read
PubMed Publisher
In one paragraph

Article in Genes and immunity, 2003. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 19 papers.

0numbers the graph read from it
0cells of the map it votes in
19citing papers in PubMed
2.5field-weighted citation impact, top 12% of its field
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

19 citing papers in PubMed, 53 citations in OpenAlex.

  1. Article
  2. Article
  3. Review
  4. Review
  5. Review
  6. Review
  7. Article
  8. Thymus: the next (re)generation.Immunological reviews · 2016
    Review
  9. Temporal fate mapping reveals age-linked heterogeneity in naive T lymphocytes in mice.Proceedings of the National Academy of Sciences of the United States of America · 2015
    Article
  10. Article
  11. Article
  12. Article
  13. Review
  14. Article
  15. Article
  16. Genetic mapping of loci controlling diethylstilbestrol-induced thymic atrophy in the Brown Norway rat.Mammalian genome : official journal of the International Mammalian Genome Society · 2006
    Article
  17. Article
  18. Article
  19. Article
4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

15 authors at 4 institutions in 1 country.

H-C HsuDepartment of Medicine, Division of Clinical Immunology and Rheumatology, The University of Alabama at Birmingham, Birmingham, AL, USA.
H-G Zhang
L Li
N Yi
P-A Yang
Q Wu
J Zhou
S Sun
X Xu
X Yang
L Lu
G Van Zant
R W Williams
D B Allison
J D Mountz
University of Alabama at Birmingham · USUnited States Department of Veterans Affairs · USUniversity of Tennessee Health Science Center · USUniversity of Kentucky · US

Funding

MODELS FOR THE STUDY OF LONGEVITY GENESR01AG016653 · NIA · UNIVERSITY OF KENTUCKY · PI VAN ZANT, GARY · 1999 to 2003
$1.4M
IMMUNODEFICIENCY AND TUMORIGENESISR01CA020408 · NCI · JACKSON LABORATORY · PI SHULTZ, LEONARD D. · 1985 to 2002
$1.1M
GENE THERAPY TO CORRECT ARTHRITIS IN AUTOIMMUNE MICEN01AR062224 · NIAMS · UNIVERSITY OF ALABAMA AT BIRMINGHAM · PI MOUNTZ, JOHN D · 1996 to 2000
$328k
NCI NIH HHS CA 20408NIAMS NIH HHS N01 AR 6-2224NIA NIH HHS R01 AG16653
6 · The paper itself

Abstract

A comprehensive analysis of initial thymus size and involution rate has not been quantitated for different genetic backgrounds of mice, thus genetic linkage analysis of thymic involution has not been possible. Here, we have used a mathematical method to analyze the age-related decline in thymocyte count in C57BL/6 and DBA/2 mice and have observed that thymic involution could be best fit with a negative exponential curve N(t)=beta(0) x exp(-beta(1)t), where t represents the age (day). This regression model was applied to C57BL/6 x DBA/2 (B x D) recombinant inbred strains of mice to identify the genetic loci influencing age-related thymic involution. There was a dramatic genetic effect of B and D alleles on thymocyte count at young age and the age-related thymic involution rate. The strongest quantitative trait loci (QTL) influencing the rate of thymic involution were mapped to mouse chromosome (Chr) 9 (D9Mit20 at 62 cM) and Chr 10 (D10Mit61 at 32 cM). The strongest QTLs influencing the initial thymocyte count were mapped to ChrX (DXMit324 at 26.5 cM) and Chr 3 (D3Mit127 at 70.3 cM). The present study suggests that the initial thymus size and the rate of thymic involution may be influenced by a relatively small number of genetic loci.

Indexed as

Quantitative Trait, HeritableAgingAnimalsChromosome MappingChromosomes, MammalianCrosses, GeneticFemaleGenotypeMiceMice, Inbred C57BLMice, Inbred DBAThymus Gland

Identifiers

PMID12944977
OpenAlexW1593954658

What OpenQuestion holds

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Read underepoch 390

Registered trials

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Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.